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Correlative Information Maximization Based Biologically Plausible Neural
  Networks for Correlated Source Separation

Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation

9 October 2022
Bariscan Bozkurt
Ates Isfendiyaroglu
Cengiz Pehlevan
A. Erdogan
ArXivPDFHTML

Papers citing "Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation"

2 / 2 papers shown
Title
Correlative Information Maximization: A Biologically Plausible Approach
  to Supervised Deep Neural Networks without Weight Symmetry
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Bariscan Bozkurt
Cengiz Pehlevan
A. Erdogan
35
1
0
07 Jun 2023
Polytopic Matrix Factorization: Determinant Maximization Based Criterion
  and Identifiability
Polytopic Matrix Factorization: Determinant Maximization Based Criterion and Identifiability
Gokcan Tatli
A. Erdogan
26
16
0
19 Feb 2022
1